An intelligent system for detecting faults in photovoltaic fields. - Pietro Ducange; Michela Fazzolari; Beatrice Lazzerini; Francesco Marcelloni (ISDA, 2011)

A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers. - Bruno Giglio; Francesco Marcelloni; Michela Fazzolari; Rafael Alcalá; Francisco Herrera (FUZZ-IEEE, 2012)

Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities. - Michela Fazzolari; Rafael Alcalá; Yusuke Nojima; Hisao Ishibuchi; Francisco Herrera (GEFS, 2013)

A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off. - Michela Fazzolari; Bruno Giglio; Rafael Alcalá; Francesco Marcelloni; Francisco Herrera (Knowl. Based Syst., 2013)

A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions. - Michela Fazzolari; Rafael Alcalá; Yusuke Nojima; Hisao Ishibuchi; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2013)

A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm. - Michela Fazzolari; Rafael Alcalá; Francisco Herrera (Appl. Soft Comput., 2014)

Adaptive management of applications across multiple clouds: The SeaClouds Approach. - Antonio Brogi; Jose Carrasco 001; Javier Cubo; Elisabetta Di Nitto; Francisco Durán 001; Michela Fazzolari; Ahmad Ibrahim 001; Ernesto Pimentel 001; Jacopo Soldani; Pengwei Wang 001; Francesco D'Andria (CLEI Electron. J., 2015)

Mining Worse and Better Opinions - Unsupervised and Agnostic Aggregation of Online Reviews. - Michela Fazzolari; Marinella Petrocchi; Alessandro Tommasi; Cesare Zavattari (ICWE, 2017)

A Study on Text-Score Disagreement in Online Reviews. - Michela Fazzolari; Vittoria Cozza; Marinella Petrocchi; Angelo Spognardi (Cogn. Comput., 2017)

Predicting Online Review Scores Across Reviewer Categories. - Michela Fazzolari; Marinella Petrocchi; Angelo Spognardi (IDEAL (1), 2018)

Contrasting Fake Reviews in TripAdvisor. - Francesco Buccafurri; Michela Fazzolari; Gianluca Lax; Marinella Petrocchi (SEBD, 2018)

A study on online travel reviews through intelligent data analysis. - Michela Fazzolari; Marinella Petrocchi (J. Inf. Technol. Tour., 2018)

An effective Decision Support System for social media listening based on cross-source sentiment analysis models. - Pietro Ducange; Michela Fazzolari; Marinella Petrocchi; Massimo Vecchio (Eng. Appl. Artif. Intell., 2019)

Emotions and Interests of Evolving Twitter Bots. - Michela Fazzolari; Manuel Pratelli; Fabio Martinelli; Marinella Petrocchi (EAIS, 2020)

Presente Digitale: An Online Education System for Teachers. - Michela Fazzolari; Stefania Fabbri; Ilaria Matteucci; Marinella Petrocchi; Anna Vaccarelli (HELMeTO, 2020)

Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution. - Michela Fazzolari; Francesco Buccafurri; Gianluca Lax; Marinella Petrocchi (CoRR, 2020)

An overview of recent distributed algorithms for learning fuzzy models in Big Data classification. - Pietro Ducange; Michela Fazzolari; Francesco Marcelloni (J. Big Data, 2020)

Experience: Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution. - Michela Fazzolari; Francesco Buccafurri; Gianluca Lax; Marinella Petrocchi (ACM J. Data Inf. Qual., 2021)

An Explainable and Evolving Car Driver Identification System based on Decision Trees. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (EAIS, 2022)

Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees. - Gabriella Casalino; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (HELMeTO, 2022)

Fuzzy Hoeffding Decision Trees for Learning Analytics. - Gabriella Casalino; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (OLUD@WCCI, 2022)

AMOE: A Tool to Automatically Extract and Assess Organizational Evidence for Continuous Cloud Audit. - Franz Deimling; Michela Fazzolari (DBSec, 2023)

An Explainable Intrusion Detection System for IoT Networks. - Michela Fazzolari; Pietro Ducange; Francesco Marcelloni (FUZZ, 2023)

Leveraging Explainable AI Methods and Tools for Educational Data. - Gabriella Casalino; Giovanna Castellano; Pietro Ducange; Michela Fazzolari; Riccardo Pecori; Gianluca Zaza (HELMeTO, 2023)

Continuous Monitoring of Body Shaming Actions in Social Networks. - Pietro Ducange; Michela Fazzolari; Francesco Marcelloni; Martina Marino; Roberta Matrella (EAIS, 2024)

Leveraging Incremental Decision Trees and In-Vivo Biosensors for an Explainable Plant Health Monitoring System. - Giovanni Panella; Pietro Ducange; Manuele Bettelli; Filippo Vurro; Michela Fazzolari; Riccardo Pecori (EAIS, 2024)

An Explainable Smart Agriculture System based on In- Vivo Biosensors. - Riccardo Pecori; Giovanni Panella; Filippo Vurro; Manuele Bettelli; Michela Fazzolari; Pietro Ducange (FUZZ, 2024)

Explainable Intrusion Detection System in IoT Scenarios: A Cross-Device Model Training and Evaluation for Traffic Classification. - Pietro Ducange; Michela Fazzolari; Francesco Marcelloni (HICSS, 2024)